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kitsunea/modelSmolLM2-improvd-assignment2-exercise

sourceHugging Faceapache-2.0updated 11mo agoView on Hugging Face

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modelSmolLM2-improvd-assignment2-exercise

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 2.2899

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

—learning_rate: 0.0001
—trainbatchsize: 8
—evalbatchsize: 8
—seed: 42
—optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
—lrschedulertype: cosine
—num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.9359	0.1067	400	2.7948
2.6792	0.2133	800	2.6778
2.5989	0.32	1200	2.6008
2.5019	0.4267	1600	2.5441
2.4683	0.5333	2000	2.4983
2.4736	0.64	2400	2.4578
2.3997	0.7467	2800	2.4135
2.3478	0.8533	3200	2.3831
2.3269	0.96	3600	2.3529
2.0474	1.0667	4000	2.3547
1.8848	1.1733	4400	2.3444
1.87	1.28	4800	2.3280
1.8541	1.3867	5200	2.3183
1.8413	1.4933	5600	2.3095
1.8518	1.6	6000	2.2993
1.8189	1.7067	6400	2.2945
1.8615	1.8133	6800	2.2911
1.82	1.92	7200	2.2899

Framework versions

—Transformers 4.57.1
—Pytorch 2.8.0+cu126
—Datasets 4.0.0
—Tokenizers 0.22.1